Evidence map›Paper›PMID 26131913›Full record

ArticleRadiology2016

Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach.

Vania Tacher, MingDe Lin, Rafael Duran, Hooman Yarmohammadi, Howard Lee, Julius Chapiro, Michael Chao, Zhijun Wang, Constantine Frangakis, Jae Ho Sohn and 3 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  7. Review
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  9. Article
  10. Article
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  12. Article
  13. Response Assessment of Primary Liver Tumors to Novel Therapies: an Imaging Perspective.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Review
  14. Review
  15. Article
  16. Evaluation and Prediction of Treatment Response for Hepatocellular Carcinoma.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Vania TacherFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
MingDe LinFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Rafael DuranFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Hooman YarmohammadiFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Howard LeeFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Julius ChapiroFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Michael ChaoFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Zhijun WangFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Constantine FrangakisFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Jae Ho SohnFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Mitchell Gil MaltenfortFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Timothy PawlikFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).
Jean-François GeschwindFrom the Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology (V.T., R.D., H.Y., H.L., J.C., M.C., Z.W., J.H.S., J.F.G.), and Department of Surgery (T.P.), Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287; Department of U/S Imaging and Interventions, Philips Research North America, Briarcliff Manor, NY (M.L.); Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.F.); and The Rothman Institute, Philadelphia, Pa (M.G.M.).

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCATS NIH HHS UL1 TR001079NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA160771
6 · The paper itself

Abstract

purposeTo compare currently available non-three-dimensional methods (Response Evaluation Criteria in Solid Tumors [RECIST], European Association for Study of the Liver [EASL], modified RECIST [mRECIST[) with three-dimensional (3D) quantitative methods of the index tumor as early response markers in predicting patient survival after initial transcatheter arterial chemoembolization (TACE). MATERIALS AND

methodsThis was a retrospective single-institution HIPAA-compliant and institutional review board-approved study. From November 2001 to November 2008, 491 consecutive patients underwent intraarterial therapy for liver cancer with either conventional TACE or TACE with drug-eluting beads. A diagnosis of hepatocellular carcinoma (HCC) was made in 290 of these patients. The response of the index tumor on pre- and post-TACE magnetic resonance images was assessed retrospectively in 78 treatment-naïve patients with HCC (63 male; mean age, 63 years ± 11 [standard deviation]). Each response assessment method (RECIST, mRECIST, EASL, and 3D methods of volumetric RECIST [vRECIST] and quantitative EASL [qEASL]) was used to classify patients as responders or nonresponders by following standard guidelines for the uni- and bidimensional measurements and by using the formula for a sphere for the 3D measurements. The Kaplan-Meier method with the log-rank test was performed for each method to evaluate its ability to help predict survival of responders and nonresponders. Uni- and multivariate Cox proportional hazard ratio models were used to identify covariates that had significant association with survival.

resultsThe uni- and bidimensional measurements of RECIST (hazard ratio, 0.6; 95% confidence interval [CI]: 0.3, 1.0; P = .09), mRECIST (hazard ratio, 0.6; 95% CI: 0.6, 1.0; P = .05), and EASL (hazard ratio, 1.1; 95% CI: 0.6, 2.2; P = .75) did not show a significant difference in survival between responders and nonresponders, whereas vRECIST (hazard ratio, 0.6; 95% CI: 0.3, 1.0; P = .04), qEASL (Vol) (hazard ratio, 0.5; 95% CI: 0.3, 0.9; P = .02), and qEASL (%) (hazard ratio, 0.3; 95% CI: 0.15, 0.60; P < .001) did show a significant difference between these groups.

conclusionThe 3D-based imaging biomarkers qEASL and vRECIST were tumor response criteria that could be used to predict patient survival early after initial TACE and enabled clear identification of nonresponders.

Indexed as

Diagnostic ImagingAgedCarcinoma, HepatocellularChemoembolization, TherapeuticContrast MediaDoxorubicinFemaleGadolinium DTPAHumansLiver NeoplasmsMaleMicrospheresMiddle AgedRetrospective StudiesTreatment OutcomeContrast MediaDoxorubicinGadolinium DTPA

Identifiers

PMID26131913
PMCPMC4695977

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